Vestibular Disease, Vestibular Function Disorder
Conditions
Brief summary
The aim of this experiment is to gain a better understanding of the body movement patterns of patients with balance disorders (following damage to the vestibular system), as well as their cognitive performance profile. To achieve this, we will need to assess the performance of both patients and healthy subjects with no balance disorders. We will be using a newly-developed artificial intelligence tool to analyze body movement patterns on the basis of participants' videos, and we will also be evaluating participants' performance in a few simple tests of reaction times to image presentations on computer and/or tablet/smartphone. If you agree to take part in this experiment, you will be asked to perform a simple walking exercise in a corridor (filmed and supervised by a physiotherapist) as well as a few objective cognitive measurement tests (reaction time to attentional and vigilance tasks on computer and/or tablet/smartphone) and subjective tests (self-reported questionnaires) requiring around 40 minutes of investigation in total. In the long term, the results of this research will make it easier to assess balance disorders in patients with vestibular pathology, and better quantify any cognitive difficulties they may have.
Interventions
DIAGNOSTIC_TESTEvaluation of walking abilities (manual Timed-Up & Go - TUG and automatic -OpenTUG))
To evaluate walking abilities, participants performed the Timed-Up & Go (TUG) f our times (practice trial, normal, slow and fast speed). Patient's performances are videorecorded with an Intel RealSense depth camera D435i to capture their movements, and manual time recording of time taken (in seconds) and number of steps are carried out by the experimenters. Complementary to manual experimenter recording, a 2D human pose estimation method (OpenTUG) is applied to automatically extract the time and the number of steps taken by the participant during the TUG task.
DIAGNOSTIC_TESTNeuropsychological assesment is provide to measure objective and subjective cognition/emotional aspects.
Neuropsychological evaluation assess attention (Test for Attentional Performance -TAP-) and quality-of-life (DHI, HADS, and NVI).
Sponsors
Université Catholique de Louvain
Study design
Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 90 Years
Healthy volunteers
Yes
Inclusion criteria
For patients : Inclusion Criteria: * Age between 18 and 90 years old. * Vestibular loss diagnosed by senior ENT doctors with the gold standard ENT measures (caloric testing, head impulse test and/or vestibular evoked myogenic potential, ocular and cervical).
Exclusion criteria
* Previous neurological disorders (stroke, dementia, …) * Current medication interfering with the testing (reducing reaction time). * Visual difficulties interfering with the testing (Visual field reduction,…) * Age below 18 years old. For healthy controls : Inclusion criteria : \- Age between 18 and 90 years old.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Neuropsychological measures | Through the entire study, approximately 24 months | evaluation to assess attention (Test for Attentional Performance -TAP-) Alertness and Divided attention tasks. Median reaction time and standard deviation of the median (regularity) are record in milliseconds. Slow reaction times and large standard deviations indicate more difficulties. |
| Walking activity | Through the entire study, approximately 24 months | Participants performed the Timed-Up & Go (TUG) four times (practice trial, normal, slow and fast speed). They have to stand up from a chair, walk until a line on the ground marked at 3 meters, turn, go back to the chair, and sit down again. The time is recorded. There is no time limit to the task. |
Countries
Belgium
Outcome results
None listed